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    Editorial: An Alarming Message About ½: Why Self-Care is Key to Building Healthy Academic Communities

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    Gauging Risk and Protective Factors Contributing to e-Cigarette Use Among Multiracial Youth

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    Background: Currently, e-cigarettes are the most common form of nicotine consumption among youth in the United States. There is a lack of research focusing on e-cigarette use among multiracial youth, yet the sparse literature points toward the adverse consequences of e-cigarettes on multiracial youth. Multiracial youth tend to have higher addiction and prevalence rates of e-cigarette use compared to other racial/ethnic groups. The current research focuses on analyzing e-cigarette use based on parental factors, school factors, prosocial behavior, ease of access, risk behaviors, perception of harm, and sociodemographic differences among multiracial youth. Methods: A secondary data analysis of the 2020 Student Drug Use Survey (N = 38 048) was performed. Of these, n = 3340 self-identified as multiracial. Descriptive analysis, univariate logistic regression, and logistic regression were performed. Results: Results indicate that the odds of using e-cigarettes among multiracial youth increase 2 times when not perceived as harmful, 2 times if one is employed, 18 times if involved in high-risk behaviors, and 2 times if in 9th through 12th grade. Additionally, logistic regression demonstrates that parental factors may not be significant in e-cigarette use among multiracial youth. Conclusion: It is crucial to investigate the association between e-cigarette use and multiracial youth, as they may be disproportionately affected by chronic conditions and fatal diseases linked to tobacco use. Understanding the specific risk and protective factors influencing e-cigarette use within this demographic can help design targeted interventions, particularly for multiracial youth in the Greater Cincinnati region

    Commentary on Buechele, Cooke, & Berezovsky (2024): Entropic Models of Scales and some Extensions

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    I discuss Buechele, Cooke, and Berezovsky’s entropy-based model of scale structure and compare it with a different entropy-based model from Milne et al. (2017). I also present an augmented version of the 2017 model to provide an additional entropy-based explanation for preferred scale structures. Our models have similarities and differences in terms of their constructions and constraints, and their results differ somewhat in meaning. Despite this, they are broadly comparable in terms of the “optimal” scales found. This suggests that entropy-based approaches can explain the origins of historical and contemporary scales, whilst also indicating interesting alternative scales that align with psychoacoustic and cognitive affordances

    President’s Message: 10 Ways You Can Build a Culture of Belonging and Connection

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    BHAC Journal Reviewers

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    Fourth National Summit on Promoting Well-Being and Resilience in Healthcare Professionals: Abstracts from the Poster Winners

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    Body Tricks

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    A Record of Historical Temperature Change from 1893 to 2021, Southwest Ohio, United States of America

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    A local record of historical temperature change from 1893 to 2021 was established for a region centered in southwest Ohio, United States. Temperature records were examined from 8 weather stations located in Ohio, Indiana, and Kentucky, all within a radius of 50 miles (approximately 80 km) from Miami University, Oxford, Ohio. Results indicate that annual minimum temperatures increased by approximately 0.11 °F (0.060 °C) per decade between 1893 to 2021, with a total increase of 1.4 °F (0.78 °C) over the 128-year study period ( p < 2 × 10-16, R2 = 0.74). Spring and summer minimum temperatures increased by 2.0 °F (1.1 °C) and 1.5 °F (0.83 °C) respectively, whereas fall and winter minimum temperatures increased by 1.1 °F (0.63 °C) and 0.77 °F (0.43 °C), respectively. Annual maximum temperatures increased by approximately 0.071 °F (0.039 °C) per decade, resulting in a total increase of 0.90 °F (0.50 °C) over the study period ( p < 2 × 10-16, R2 = 0.74). The largest observed increase in maximum temperatures occurred during the spring (1.7 °F; 0.94 °C), with fall (1.6 °F; 0.88 °C), and winter (1.6 °F; 0.88 °C) maximum temperatures increasing similarly. No change was observed in summer maximum temperatures. Historical temperature trends in the region studied broadly match state and regional temperature compilations for the lower Midwest, with greater warming occurring during spring and negligible warming in summer. This analysis indicates local datasets complement regional climate compilations and models, as well as help to identify geographic variation in temperature trends critical for assessing local vulnerabilities and informing regional mitigation strategies for climate change

    Call-Push-Shock: A Community Education Initiative to Strengthen the Out of Hospital Cardiac Arrest Chain of Survival

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    Background: Out-of-hospital cardiac arrest (OHCA) is a global health concern with an incidence of 8.9 million people annually. More than 350,000 incidences of OHCA occur yearly in the United States, with an average survival of 10%. Provision of bystander cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use have been noted to significantly improve survival rates. Aim: The aim of this quality improvement project was to strengthen the OHCA chain of survival on the university campus and within the surrounding community. Methods: This was a multifaceted evidence-based quality improvement project involving community CPR/AED education, improving AED awareness, and policy creation. Results: Participant (n = 759) knowledge of CPR and AED use improved between pre-test (M = 3.34, SD = 1.18) and post-test scores (M = 5.23, SD = 0.82). Participant knowledge of AED locations in areas they frequent improved from 58% to 91%, and comfort level for performing CPR improved from 59% to 97% post implementation. Adoption of a Cardiac Emergency Response Plan for the university was achieved, an additional 23 AEDs were placed on campus and uploaded to an AED location app. Conclusion: There is strong evidence to support that communities who place an emphasis on strengthening the OHCA chain of survival report better OHCA outcomes

    The BeWell Champion Program: A Worksite Wellness Initiative

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    Background: Adults spend most of their waking hours at work, which offers a setting to improve employee well-being. This paper describes the impact of an evidence-based employee wellness initiative on employees at a large health system. Methods: The project team provided virtual technical assistance and training to a designated champion at 22 enrolled clinical sites. Measures included an abridged version of the Centers for Disease Control and Prevention (CDC) Worksite ScoreCard, a process evaluation, and employee participation data. Champions used baseline data for their site to select wellness initiatives. Results: Results demonstrated positive improvements in multiple domains on the CDC Worksite ScoreCard, with significant improvements in organizational support and the overall score. Conclusion: Utilization of evidence-based models, flexibility to meet the needs of varied clinical practice sites, and capacity for sustainability indicate this approach may be adaptable and feasible for other large health systems

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